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Engineer, Informations- und Wissensmanagement

in 70173, Stuttgart, Baden-Württemberg, Deutschland
Unternehmen: General Dynamics Information Technology, Inc.
Vollzeit position
Verfasst am 2026-10-03
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Informations- und Wissensmanagement, Dateningenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 121000 - 163000 EUR pro Jahr EUR 121000.00 163000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Knowledge Engineer
Type of

Requisition

Regular Clearance Level Must Currently Possess:
Top Secret/SCI Clearance Level Must Be Able to Obtain:
Top Secret/SCI Public Trust/Other

Required:

None Job Family: IT Infrastructure and Operations

Job Qualifications:

Skills:

Artificial Intelligence (AI), Knowledge Engineering, Machine Learning (ML)

Certifications:

None

Experience:

10 + years of related experience US Citizenship

Required:

Yes

Job Description Overview

The Knowledge Engineer (KE) is embedded within a USAFRICOM Directorate to support CDAO’s mission of enabling digital modernization and accelerating AI/ML adoption across the AFRICOM enterprise. KEs document, digitize, and optimize command workflows; design and standardize semantic ontologies; and configure out‑of‑the‑box Microsoft
365/DEOS capabilities to improve data accessibility, operational efficiency, and decision advantage.

Key Responsibilities Process Intelligence & Workflow Optimization (30%)
  • Map, baseline, and digitize existing command workflows and Joint Staff standards.
  • Identify bottlenecks using process intelligence methods and develop versioned workflow diagrams.
  • Transition manual processes into automated or semi‑automated digital workflows using Agile implementation practices.
Ontology Development & Data Standardization (30%)
  • Conduct semantic orchestration: design and maintain minimum viable ontologies in standard formats (OWL, RDF, SKOS).
  • Ensure documentation, models, and related data products adhere to metadata standards for seamless integration into MSS and WDP.
  • Prepare ontologies and models so AI agents and LLMs can access authoritative, secure data for decision support tools, dashboards, and predictive analytics.
Education, Training & System Adoption (30%)
  • Train Knowledge Managers and functional users on metadata practices, knowledge capture methods, and modern collaboration/data platforms (Microsoft
    365, Databricks, Palantir).
  • Promote data literacy and adoption of new digital workflows across Directorates.
Contractor Oversight & Agile Work Package Management (10%)
  • Review technical work packages for accuracy, completeness, and adherence to governance standards.
  • Evaluate scope and data‑flow functionality through digital capture tools (e.g., JIRA, Slack or similar) and ensure delivery of Minimum Viable Product (MVP) increments aligned with stakeholder needs.

Note:

Percentages may shift with mission requirements.

Required Qualifications
  • Bachelor’s Degree (mandatory) — DEOS contract requirement; no substitutions allowed.
  • 10+ years of experience in knowledge management, process engineering, or closely related fields.
  • Experience leading cross‑functional teams in DoW or IC environments.
  • Hands‑on configuration skills in Microsoft
    365:
    SharePoint administration, Power Automate workflows, and Teams governance (must be able to build, not only advise conceptually).
  • Experience with in U.S. military headquarters or Joint Staff directorates; understanding battle rhythm, command processes, and operational documentation.
  • Demonstrated ability to lead change and facilitate adoption among senior stakeholders (O‑6/SES).
  • Practical experience with ontologies, metadata standards, and workflow digitization.
  • U.S. Citizenship; eligible for SOFA status and required country clearances.
  • DOW Security Clearance: TS/SCI.
Desired Qualifications
  • Experience with Power Apps or Power BI for dashboards and decision support.
  • Familiarity with CDAO/CKDP frameworks, DEOS enterprise services, and DoW records management.
  • Background in knowledge engineering frameworks, semantic technologies, or content modeling.
  • Experience supporting data ingestion, tagging, and interoperability across MSS, WDP, or similar analytical platforms.
Company Culture

GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at…

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